Linear Models: Least Squares and Alternatives (Springer Series in Statistics) - Tapa dura

Rao, C.R.; Toutenburg, H.

 
9780387945620: Linear Models: Least Squares and Alternatives (Springer Series in Statistics)

Sinopsis

This text provides an account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the graduate level as well as an accompanying text for other courses in which linear models play a part. The authors present a unified theory of inference from linear models with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations.

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Reseña del editor

This text provides an account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the graduate level as well as an accompanying text for other courses in which linear models play a part. The authors present a unified theory of inference from linear models with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations.

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9781489900258: Linear Models: Least Squares and Alternatives

Edición Destacada

ISBN 10:  148990025X ISBN 13:  9781489900258
Editorial: Springer, 2013
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